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Case Study: Dynamic Pricing
AI-assisted pricing recommendations based on product attributes and changing market inputs. Profile-reported results: evaluation time decreased from 60 to 5 minutes and profit from day-in-stock increased 30%.
Main AI Feartures
Recommend prices for each product/service based on unique characteristics.
Automatically and flexibly update product prices in response to market fluctuations.
Final Results
>Reduce price evaluation time from 60 minutes to 5 minutes.
>Increase profit from day-in-stock by 30%.
Models
Supervised Learning
Linear Regression
Neutral Network
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